PT-2022-16077 · Google · Tensorflow

·

CVE-2022-23561

·

Published

2022-02-04

·

Updated

2026-07-09

CVSS v3.1

8.8

High

VectorAV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
Name of the Vulnerable Software and Affected Versions TensorFlow versions prior to 2.8.0 TensorFlow versions prior to 2.7.1 TensorFlow versions prior to 2.6.3 TensorFlow versions prior to 2.5.3
Description An attacker can craft a TFLite model to cause a write outside the bounds of an array in TFLite, potentially overriding the linked list used by the memory allocator. This can be leveraged for an arbitrary write primitive under certain conditions.
Recommendations For versions prior to 2.8.0, update to TensorFlow 2.8.0 or later. For versions prior to 2.7.1, update to TensorFlow 2.7.1 or later. For versions prior to 2.6.3, update to TensorFlow 2.6.3 or later. For versions prior to 2.5.3, update to TensorFlow 2.5.3 or later.

Exploit

Fix

Memory Corruption

Found an issue in the description? Have something to add? Feel free to write us 👾

Weakness Enumeration

Related Identifiers

BIT-TENSORFLOW-2022-23561
CVE-2022-23561
GHSA-9C78-VCQ7-7VXQ
OPENSUSE-SU-2024:12116-1
PYSEC-2022-125
PYSEC-2022-70
PYSEC-2026-3148

Affected Products

Tensorflow